"Data is the new intellectual property, and companies that can distill intelligence from their data - whether in a smart hospital or an autonomous car - will be the ones to lead", stated Antonio Neri, president and chief executive officer, HPE. "HPE has been at the forefront of developing technologies and services for the Intelligent Edge, and with this investment, we are accelerating our ability to drive this growing category for the future."
According to Gartner, by 2022, as a result of digital business projects, 75% of enterprise-generated data will be created and processed outside the traditional, centralized data centre or Cloud, up from less than 10% in 2018. It will be created at the edge - for example, in an oil rig, a retail store floor or a medical device. Turning that data into intelligence requires data to be analyzed at the edge, seamlessly and instantaneously, with zero tolerance for friction or latency.
"The next evolution in enterprise technology will be in edge-to-Cloud architecture", continued Antonio Neri. "Enterprises will require millions of distributed Clouds that enable real-time insights and personalized experiences exactly where the action is happening."
The need for Intelligent Edge capabilities is driving a very large, fast-growing market opportunity. With Aruba, a Hewlett Packard Enterprise company, HPE is already an expert in Intelligent Edge technology, including wireless LAN, campus switching, security, location-based services, edge computing, and analytics and assurance.
For example, Aruba and HPE Pointnext services are helping Gatwick Airport achieve its goal of becoming the most technologically advanced airport in the world. HPE's Edge systems are helping Texmark create the refinery of the future which will make the manufacturing of chemicals safer and more efficient, and helping Streamr grow their marketplace for data monetization by collecting and storing data from an individual car on a blockchain, ultimately giving control of the data to the driver.
Over the next four years, HPE will direct $4 billion to accelerate Intelligent Edge innovation.
Specifically, HPE will invest in research and development to advance and innovate new products, services and consumption models across a number of technology domains such as security, AI and machine learning, automation and edge computing.
For example, given the increasing customer demand for consumption-based service models, HPE intends to build out its portfolio of transformational advisory and professional services for the edge. HPE will also continue to advance Memory-Driven Computing, which will dramatically accelerate the speed, accuracy and efficiency of localized computing at the edge. HPE will also continue to invest in open standards and open source technologies, cultivate communities of software, AI, and network engineers, and further develop its ecosystem through new and expanded partnerships.